Dimension Reduction for Hyperspectral Image Classification via Support Vector based Feature Extraction.
Cheng-Hsuan LiBor-Chen KuoChin-Teng LinChih-Cheng HungPublished in: IGARSS (5) (2008)
Keyphrases
- dimension reduction
- hyperspectral image classification
- feature extraction
- support vector
- linear discriminant analysis
- feature selection
- active learning
- hyperspectral
- principal component analysis
- hyperspectral images
- random projections
- kernel function
- high dimensional
- image processing
- dimensionality reduction
- unsupervised learning
- feature space
- discriminant analysis
- manifold learning
- preprocessing
- low dimensional
- image classification
- hyperspectral data
- discriminative information
- feature vectors
- multispectral
- singular value decomposition
- support vector machine
- feature set
- face recognition
- pattern recognition
- kernel methods
- svm classifier
- high dimensional data
- supervised learning
- remote sensing
- learning algorithm
- cluster analysis
- image data
- object recognition
- data sets
- principle component analysis
- machine learning